USING MACHINE LEARNING ALGORITHMS TO PREVENT THE RISK OF MATERNAL COMPLICATIONS DURING PREGNANCY
Abstract
The publication presents the results of the drafting, analysis of the use of artificial intelligence technologies in the sphere of healthcare on the example of determining the risk of maternal complications during pregnancy, as well as the results of an online survey of women of reproductive age in the Republic of Uzbekistan for the use of the developed mobile application during pregnancy. Data processing methods were used using built-in Python libraries with automatic statistical data processing modules, and an online survey was conducted by means of Google Forms. The results showed high accuracy in predicting pregnancy complications. This research contributes to the digitalization of healthcare in general and helps to early identification of risks to maternal health. The analysis showed that blood glucose levels, age and blood pressure may significantly affect the health of pregnant women. Based on these data, a random forest model was built with an accuracy of 92.15%. In addition, digital medical products have been developed, and the survey demonstrated a willingness to use mobile applications to examine health status. The survey showed that 84.4% of women are ready to use a mobile app during pregnancy, and more than 60% of them even with a paid subscription. The developed digital software product in the form of a mobile application using machine learning algorithms is an alternative approach of preventing maternal complications during pregnancy in women.
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